Public Health & Policy

Health Policy

Latest AI and machine learning research in health policy for healthcare professionals.

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Artificial intelligence and mental capacity legislation: Opening Pandora's modem.

People with impaired decision-making capacity enjoy the same rights to access technology as people w...

Explainable artificial intelligence models for predicting risk of suicide using health administrative data in Quebec.

Suicide is a complex, multidimensional event, and a significant challenge for prevention globally. A...

NVAM-Net: deep learning networks for reconstructing high-quality fiber orientation distributions.

PURPOSE: Diffusion magnetic resonance imaging (dMRI) is a widely used non-invasive method for invest...

Impact of Deep Learning Denoising Algorithm on Diffusion Tensor Imaging of the Growth Plate on Different Spatial Resolutions.

To assess the impact of a deep learning (DL) denoising reconstruction algorithm applied to identical...

Utilizing geospatial artificial intelligence to map cancer disparities across health regions.

We have developed an innovative tool, the Intelligent Catchment Analysis Tool (iCAT), designed to id...

Floating-Point Approximation Enabling Cost-Effective and High-Precision Digital Implementation of FitzHugh-Nagumo Neural Networks.

The study of neuron interactions and hardware implementations are crucial research directions in neu...

Image quality evaluation in deep-learning-based CT noise reduction using virtual imaging trial methods: Contrast-dependent spatial resolution.

BACKGROUND: Deep-learning-based image reconstruction and noise reduction methods (DLIR) have been in...

Challenges and strategies for wide-scale artificial intelligence (AI) deployment in healthcare practices: A perspective for healthcare organizations.

Healthcare organizations have realized that Artificial intelligence (AI) can provide a competitive e...

Remote and low-cost intraocular pressure monitoring by deep learning of speckle patterns.

SIGNIFICANCE: Glaucoma, a leading cause of global blindness, disproportionately affects low-income r...

Research progress in water quality prediction based on deep learning technology: a review.

Water, an invaluable and non-renewable resource, plays an indispensable role in human survival and s...

Detection of biomagnetic signals from induced pluripotent stem cell-derived cardiomyocytes using deep learning with simulation data.

The detection of spontaneous magnetic signals can be used for the non-invasive electrophysiological ...

Cost-Effectiveness of Artificial Intelligence-Based Opportunistic Compression Fracture Screening of Existing Radiographs.

PURPOSE: Osteoporotic vertebral compression fractures (OVCFs) are a highly prevalent source of morbi...

Pathways to democratized healthcare: Envisioning human-centered AI-as-a-service for customized diagnosis and rehabilitation.

The ongoing digital revolution in the healthcare sector, emphasized by bodies like the US Food and D...

The Evolving Regulatory Paradigm of AI in MedTech: A Review of Perspectives and Where We Are Today.

Artificial intelligence (AI)-enabled technologies in the MedTech sector hold the promise to transfor...

Industrially Scalable Textile Sensing Interfaces for Extended Artificial Tactile and Human Motion Monitoring without Compromising Comfort.

Smart wearables with the capability for continuous monitoring, perceiving, and understanding human t...

Development of AI-based hybrid soft computing models for prediction of critical river water quality indicators.

Prediction of river water quality indicators (RWQIs) using artificial intelligence (AI)-based hybrid...

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